trellis-mac

AI

image-to-3d generation

SHOW HN2026

202points
40comments
#289of 4,366 in 2026
Top 7%of 2026 by points

How HN took it

MixedNo clear lean

7 positive, 6 neutral or asking, 0 mixed, 4 critical, out of 17 comments about the project. Thread score +0.14.

Idea: 4 for, 1 againstExecution: 1 for, 2 againstDocs: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • good porting work replacing CUDA-only kernels with pure PyTorch

    From 3 comments
    • This is the kind of porting work I always hope for when I see a CUDA-only release. Have you thought about publishing the gather-scatter sparse 3D convolution and SDPA attention…
      sebakubisz on HN
    • Most 'runs on Mac' ports are a wrapper around a cloud call or a quantized shell of the original model. Going after the CUDA-specific kernels with pure-PyTorch alternatives is the…
      sergiopreira on HN
    • solid port. the sdpa swap for sparse attention — did you notice a meaningful quality difference, or is it basically equivalent to the cuda version? curious if the pure-pytorch…
      paolatauru on HN

Objections

  • much slower than H100, about 3.5 minutes per mesh

    From 2 comments
    • I thought it was cool and then I found the open issue mentioned above, that convinced me its def something more people want. It IS significantly slower, about 3.5 minutes on my…
      shivampkumar on HN
    • i was able to get it in 3.5 mins from a single image on my 24gb m4 pro macbook I'm still working on this to try to replicate nvdiffrast better. Found an open source port, might…
      shivampkumar on HN
  • TRELLIS.2 output quality is weak compared with other image-to-3D models

    From 1 comment
    • Nice work. Although this model is not very good, I tried a lot of different image-to-3d models, the one from meshy.ai is the best, trellis is in the useless tier, really hope…
      gondar on HN
  • high memory use, about 15GB at peak, rules out 8GB Macs

    From 1 comment
    • The model needed about 15GB at peak during generation - the 4B model loads multiple sub-models (1.3B each for shape and texture flow). 8GB won't be enough, but both 24GB and 32GB…
      shivampkumar on HN

Requests

  • add examples and images to the landing page

    From 1 comment
  • Metal shader implementations for speed

    From 1 comment
    • Great. Potentially can go much faster rewriting it in terms of Metal shaders.
      antirez on HN
  • publish the sparse conv and attention swaps as a reusable toolkit

    From 1 comment
    • This is the kind of porting work I always hope for when I see a CUDA-only release. Have you thought about publishing the gather-scatter sparse 3D convolution and SDPA attention…
      sebakubisz on HN

Questions

  • how much RAM is needed

    From 1 comment
    • How much RAM does this use? Only sitting on 8 GB right now, I'm trying to figure out if I should buy 24 GB when it's time for a replacement or spring for 32.
      post-it on HN
  • can sub-models load in series to fit 16GB

    From 1 comment
    • Thanks! Could it conceivably load the sub-models in series rather than parallel? 8 still won't be enough but I wonder if those with 16 could eke something out.
      post-it on HN
  • does it support multi-view input

    From 1 comment

Alternatives named

  • Meshy.ai, a paid hosted image-to-3D service

    From 2 comments
    • Nice work. Although this model is not very good, I tried a lot of different image-to-3d models, the one from meshy.ai is the best, trellis is in the useless tier, really hope…
      gondar on HN
    • Meshy is indeed great but I am terminally put off by their alltogether terrible, sleazy, gamified, opaque web UI. It's like aliexpress and a lootbox game had a baby that's into…
      isoprophlex on HN
  • Apple ml-sharp, which creates Gaussian splats rather than meshes

    From 2 comments
    • I wonder how these outputs compare between Apple Sharp https://github.com/apple/ml-sharp No matter what it is cool seeing so much them work on different devices
      pcoyne on HN
    • They’re completely different projects. ML Sharp is designed to create a 3D Gaussian representation of a depicted scene and output a splat file. Trellis generates model files (GLB…
      vunderba on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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